Visualization | Material from NSF Workshop on Visualization 25th April | Data Visualization library

I have the following chart that calculates premium for each month.

I have issues fine-tuning the pretrained model deeplabv3_mnv2_pascal_train_aug in Google Colab.

When I do the visualization with vis.py, the results appear to be displaced to the left/upper side of the image if it has a bigger height/width, namely, the image is not square.

The dataset used for the fine-tune is Look Into Person. The steps done to do so are:

1. Create dataset in deeplab/datasets/data_generator.py

I want to put the "Zoomable sunburst" chart downloaded from observablehq site into the svg box.

How do I edit the module's source code?

The original source code can be found at this link(https://observablehq.com/@d3/zoomable-sunburst?collection=@observablehq/data-visualization-for-developers). I did not change the design of the chart, only the index.html page.

I'm trying to compute shap values using DeepExplainer, but I get the following error:

keras is no longer supported, please use tf.keras instead

Even though i'm using tf.keras?

I installed the Python package yt simply through pip install yt. When I tried to import it, it returns the following error message:

I have a react app that has a NavBar and a grid system. This NavBar shows some information and has buttons to run the application and the grid system contains the functions and visualizes the application. I want to have the NavBar button click trigger a function to call in the grid system component, specifically the animateAlgorithm function. As you can see, I already have a provider that shares some state information between these two components. What I don't understand is how to make it call the function.

https://github.com/austinedger0811/path-finding-visualization

App.js

I am trying to recreating the classic pyLDAvis visualization for topic modelling in Altair.

I've hit a snag when it comes to filtering. In the pyLDAvis chart, an empty selection in the scatter chart shows the so-called "Default" topic in the right chart which just shows the total frequencies for each word in the corpus.

On the other hand, if you make a selection in the scatter chart, the bar chart is filtered so that it shows the totals for the selection, overlayed against the overall totals as shown below:

I can get close to this, but as you can see below, there are (at least) two differences:

• my filtered bar chart shows all the segments when there is no selection and,
• only one topic is shown when I make a selection (i.e., there is no overlay)

Does anyone know how I could get closer based on the issues above? That is, I'd like to show only the totals when there is no selection and to overlay the selection with the totals when a point is clicked.

Reproducible Altair code below:

I am very new to DC/D3 libraries. I am trying to incorporate DC with ReactJS by having a separate pure JS file that is a reusable D3 component. I am following this example here. Here is the dummy data I am using: json snippet.

This is my App.js:

Description and goal: In R Studio, I would like to define a function that drops columns of a given data.frame if it contains a too high share of missing values, defined by a cutoff value in percent. This function should return information about the subsetted data.frame (number of remaining columns and remaining share of missing cases) together with the subsetted data.frame itself for further analyses. Additionally, there should be an option to visualize remaining missing cases using the function vis_miss() of the identically named package.

Packages used: